CIO Business Intelligence
NOVEMBER 14, 2022
A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems. Document-driven DSS.
Octopai
AUGUST 30, 2020
Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. Download upper and column-to-column lineage to Excel/CSV in order to document, verify development and change requests. Collapse irrelevant results allowing users to focus on the task at hand.
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Jet Global
OCTOBER 7, 2020
Document (e.g., Jet Analytics provides a pre-built data warehouse , OLAP cubes , and tabular models with a platform for non-technical users to easily create their own reports in Excel or Power BI. There are five categories of data entities based on their functions and the type of data that they serve: Parameter (e.g., General Ledger).
Ontotext
JUNE 10, 2021
To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP). Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. RDF-Star: Simplifying What Need Not Be Complex.
Jet Global
APRIL 30, 2019
Document (Ex. You also get a pre-built data warehouse and cubes (tabular or OLAP) that uses these data entities to de-normalize the tables and keep all your governed data in one place. There are 5 categories of data entities based on their functions and the type of data that they serve: Parameter (Ex. General ledger). Reference (Ex.
FineReport
DECEMBER 22, 2019
‘Business understanding’ means realizing in-depth data analysis and smart data forecast, via BI functions such as OLAP analysis, data mining, and so on. The ‘data’ part is like the reporting software, which is statistics and presentation of data. .
erwin
AUGUST 15, 2022
The first and most important thing to recognize and understand is the new and radically different target environment that you are most likely designing a data model when choosing a NoSQL database, namely a data lake or data lakehouse. Business Focus. Operational. Operational Tactical. Tactical Strategic. Analytical. Machine Learning. End User Tools.
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